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class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://uncw.academia.edu/">University of North Carolina Wilmington</a>, <a class="u-tcGrayDarker" href="https://uncw.academia.edu/Departments/Geography_and_Geology/Documents">Geography and Geology</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Narcisa" data-follow-user-id="10677716" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" translate="no">add</span>Follow</button><button class="ds2-5-button hidden profile-cta-button grow js-profile-unfollow-button" data-broccoli-component="user-info.unfollow-button" 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u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="10677716" href="https://www.academia.edu/Documents/in/Geography"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://uncw.academia.edu/NarcisaPricope","location":"/NarcisaPricope","scheme":"https","host":"uncw.academia.edu","port":null,"pathname":"/NarcisaPricope","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Geography"]}" data-trace="false" data-dom-id="Pill-react-component-268b7073-27f0-43df-a3e0-e937d6f51455"></div> <div id="Pill-react-component-268b7073-27f0-43df-a3e0-e937d6f51455"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="10677716" href="https://www.academia.edu/Documents/in/Geosciences"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Geosciences"]}" data-trace="false" data-dom-id="Pill-react-component-cb2a6d3d-a6c6-4f3c-ba7e-291fd8e7940a"></div> <div id="Pill-react-component-cb2a6d3d-a6c6-4f3c-ba7e-291fd8e7940a"></div> </a></div></div><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Narcisa Pricope</h3></div><div class="js-work-strip profile--work_container" data-work-id="6607593"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/6607593/Trade_Wind_Deserts_121_Trade_Wind_Deserts"><img alt="Research paper thumbnail of Trade Wind Deserts 121 Trade Wind Deserts" class="work-thumbnail" src="https://attachments.academia-assets.com/33351245/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item 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Significant ecological changes and vegetation conversions are occurring along its floodplains. Various scenarios for agricultural and urban water use are currently being proposed by the government of Botswana. However, the understanding of the river's annual flow regime and timing of the relative contributions of water from three different sources is relatively poor. In light of past and future climate change and variability, this means that allocating water between ecological flows and economic and domestic uses will become increasingly challenging. We reconstruct the inundation history in this basin to help ease this challenge. This paper presents a spatiotemporal approach to estimate the contribution of water from various sources and the magnitude of changes in the flooding extent in the basin between 1985 and 2010. We used time series analysis of bimonthly NOAA AVHRR and NASA MODIS data and climatologic and hydrologic records to determine the flooding timing and extent.","grobid_abstract_attachment_id":33351261},"translated_abstract":null,"internal_url":"https://www.academia.edu/6607590/Variable_source_flood_pulsing_in_a_semi_arid_transboundary_watershed_the_Chobe_River_Botswana_and_Namibia","translated_internal_url":"","created_at":"2014-03-31T13:27:23.772-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":10677716,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":33351261,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351261/thumbnails/1.jpg","file_name":"Pricope_EnvMonitoring_A_2012.pdf","download_url":"https://www.academia.edu/attachments/33351261/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Variable_source_flood_pulsing_in_a_semi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351261/Pricope_EnvMonitoring_A_2012-libre.pdf?1396297533=\u0026response-content-disposition=attachment%3B+filename%3DVariable_source_flood_pulsing_in_a_semi.pdf\u0026Expires=1732719841\u0026Signature=Zsu~Qfb5-1CFEAOpaCWu73FYovWQlNl-yOEJDI15M1VevSinSCa-eST1zYTWxfoQ1wVdSWHqFTi50LrIGJ3xGtM84uJYyeKpdb1nWi~PrcmtUMRt7N8MwmQC0-0sIR2q-5RUTu3UtwPNMl2FHGJJIuF6Kq4N1re61S3sfwMrtTL9Xqm9SGP8pCHikt7yyj8l9Y~28ZzaFl~BC0PXMVexcbEtxsNS3uAP20rVFdII-w3G8FcNYrjhhOOEW5Z0jXm8M--y4qyUqk98AjMmZrbioa1CsEO1pJgiOzpL~f71fPBWutP35gkEC0HDTH-18t3gyagq8P~rHi6EhtoZcEuPaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Variable_source_flood_pulsing_in_a_semi_arid_transboundary_watershed_the_Chobe_River_Botswana_and_Namibia","translated_slug":"","page_count":24,"language":"en","content_type":"Work","owner":{"id":10677716,"first_name":"Narcisa","middle_initials":null,"last_name":"Pricope","page_name":"NarcisaPricope","domain_name":"uncw","created_at":"2014-03-31T13:19:16.523-07:00","display_name":"Narcisa Pricope","url":"https://uncw.academia.edu/NarcisaPricope"},"attachments":[{"id":33351261,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351261/thumbnails/1.jpg","file_name":"Pricope_EnvMonitoring_A_2012.pdf","download_url":"https://www.academia.edu/attachments/33351261/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Variable_source_flood_pulsing_in_a_semi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351261/Pricope_EnvMonitoring_A_2012-libre.pdf?1396297533=\u0026response-content-disposition=attachment%3B+filename%3DVariable_source_flood_pulsing_in_a_semi.pdf\u0026Expires=1732719841\u0026Signature=Zsu~Qfb5-1CFEAOpaCWu73FYovWQlNl-yOEJDI15M1VevSinSCa-eST1zYTWxfoQ1wVdSWHqFTi50LrIGJ3xGtM84uJYyeKpdb1nWi~PrcmtUMRt7N8MwmQC0-0sIR2q-5RUTu3UtwPNMl2FHGJJIuF6Kq4N1re61S3sfwMrtTL9Xqm9SGP8pCHikt7yyj8l9Y~28ZzaFl~BC0PXMVexcbEtxsNS3uAP20rVFdII-w3G8FcNYrjhhOOEW5Z0jXm8M--y4qyUqk98AjMmZrbioa1CsEO1pJgiOzpL~f71fPBWutP35gkEC0HDTH-18t3gyagq8P~rHi6EhtoZcEuPaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":2442,"name":"Atmospheric Science","url":"https://www.academia.edu/Documents/in/Atmospheric_Science"},{"id":3754,"name":"Climatology","url":"https://www.academia.edu/Documents/in/Climatology"},{"id":3755,"name":"Meteorology","url":"https://www.academia.edu/Documents/in/Meteorology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="6607588"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/6607588/A_spatio_temporal_analysis_of_fire_recurrence_and_extent_for_semi_arid_savanna_ecosystems_in_southern_Africa_using_moderate_resolution_satellite_imagery"><img alt="Research paper thumbnail of A spatio-temporal analysis of fire recurrence and extent for semi-arid savanna ecosystems in southern Africa using moderate-resolution satellite imagery" class="work-thumbnail" src="https://attachments.academia-assets.com/33351262/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/6607588/A_spatio_temporal_analysis_of_fire_recurrence_and_extent_for_semi_arid_savanna_ecosystems_in_southern_Africa_using_moderate_resolution_satellite_imagery">A spatio-temporal analysis of fire recurrence and extent for semi-arid savanna ecosystems in southern Africa using moderate-resolution satellite imagery</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0974122cec25585a82305a875fb678b9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":33351262,"asset_id":6607588,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/33351262/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="6607588"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="6607588"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6607588; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=6607588]").text(description); $(".js-view-count[data-work-id=6607588]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 6607588; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='6607588']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 6607588, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0974122cec25585a82305a875fb678b9" } } $('.js-work-strip[data-work-id=6607588]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":6607588,"title":"A spatio-temporal analysis of fire recurrence and extent for semi-arid savanna ecosystems in southern Africa using moderate-resolution satellite imagery","translated_title":"","metadata":{"grobid_abstract":"Savanna ecosystems are semi-arid and fire-prone. Increasing temperatures and decreasing precipitation in Southern Africa will probably have a series of strong impacts on the various components of fire regimes in these ecosystems that will, in turn, affect their ecology, structure, and function. This paper presents a geospatial analysis to quantify changes in fire frequency, seasonality and spatial distribution during the last decade and creates a fire return interval map for the core area of the Kavango-Zambezi Transfrontier Conservation Area, which spans five Southern African countries and is the largest cooperative multistate conservation region in the world. To disentangle the relative contribution of environmental variability from country-specific land management decisions in driving changes in fire regimes, we use two different products from the MODIS Terra platform (Active Fire and Burned Area products), TRMM precipitation data and the Multivariate ENSO Index data to analyze change in fire regimes among the five countries, differentiating between different land uses such as protected areas, forest reserves, and communal lands and accounting for specific changes in fire management policies. There are significant differences in fire frequencies between countries with more effective fire management (Botswana and Zimbabwe) and countries where anthropogenic, mainly early-dry season, burning is largely uncontrolled (Namibia, Angola, and Zambia), both within and outside protected areas, while all countries and land-use units show an overall increasing trend in fire occurrences. Large fire occurrences increased up to 200% in the period before the beginning of the natural fire season in Namibia, where a new prescribed burn policy was introduced in 2006, while the other countries show a slightly different shift in seasonality of increasing fire occurrences mainly during the dry season. The mean size of fires also increases significantly across all land uses despite increasing fire prevention efforts in most protected areas in the five countries. These findings can contribute to more effective transboundary natural resource and wildlife habitat management by providing a baseline assessment of fire return intervals across five countries with different fire management policies and have implications in the climate change arena.","grobid_abstract_attachment_id":33351262},"translated_abstract":null,"internal_url":"https://www.academia.edu/6607588/A_spatio_temporal_analysis_of_fire_recurrence_and_extent_for_semi_arid_savanna_ecosystems_in_southern_Africa_using_moderate_resolution_satellite_imagery","translated_internal_url":"","created_at":"2014-03-31T13:27:23.678-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":10677716,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":33351262,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351262/thumbnails/1.jpg","file_name":"Pricope_Binford__JEMA_2012.pdf","download_url":"https://www.academia.edu/attachments/33351262/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_spatio_temporal_analysis_of_fire_recur.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351262/Pricope_Binford__JEMA_2012-libre.pdf?1396297556=\u0026response-content-disposition=attachment%3B+filename%3DA_spatio_temporal_analysis_of_fire_recur.pdf\u0026Expires=1732719841\u0026Signature=R3sZQp2yOLIFgYI6ZkvR6baoF~Di-qnwtdifWZLAQEW0C5CPDxxppkHMjWl43-itosY6fkXYdkRypKytrg-q5cK8T7E51guNF89jm2LXLRgKSZz7diJ-XNxhzIfHFPp4uGAZKxuDcS-d5cQjyQITn0X8N7xf5sB1Pecd36S43-8~xhKLF5TCFAFlWihNGtUyg4eIy1B1qSzUOL11WR-WuAM6-6AnrH~gOHKyfcBpdF73VkBSmjZ90PRychmnCUUTQc1w0VPSf1EKMOQVkIRXck3AT1FZjPhh7-to9liMRQ92uJNJAQpz7clgUxwv~G43h7LgcGIr6fUzV7wvvyoSBA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_spatio_temporal_analysis_of_fire_recurrence_and_extent_for_semi_arid_savanna_ecosystems_in_southern_Africa_using_moderate_resolution_satellite_imagery","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":10677716,"first_name":"Narcisa","middle_initials":null,"last_name":"Pricope","page_name":"NarcisaPricope","domain_name":"uncw","created_at":"2014-03-31T13:19:16.523-07:00","display_name":"Narcisa Pricope","url":"https://uncw.academia.edu/NarcisaPricope"},"attachments":[{"id":33351262,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351262/thumbnails/1.jpg","file_name":"Pricope_Binford__JEMA_2012.pdf","download_url":"https://www.academia.edu/attachments/33351262/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_spatio_temporal_analysis_of_fire_recur.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351262/Pricope_Binford__JEMA_2012-libre.pdf?1396297556=\u0026response-content-disposition=attachment%3B+filename%3DA_spatio_temporal_analysis_of_fire_recur.pdf\u0026Expires=1732719841\u0026Signature=R3sZQp2yOLIFgYI6ZkvR6baoF~Di-qnwtdifWZLAQEW0C5CPDxxppkHMjWl43-itosY6fkXYdkRypKytrg-q5cK8T7E51guNF89jm2LXLRgKSZz7diJ-XNxhzIfHFPp4uGAZKxuDcS-d5cQjyQITn0X8N7xf5sB1Pecd36S43-8~xhKLF5TCFAFlWihNGtUyg4eIy1B1qSzUOL11WR-WuAM6-6AnrH~gOHKyfcBpdF73VkBSmjZ90PRychmnCUUTQc1w0VPSf1EKMOQVkIRXck3AT1FZjPhh7-to9liMRQ92uJNJAQpz7clgUxwv~G43h7LgcGIr6fUzV7wvvyoSBA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":3754,"name":"Climatology","url":"https://www.academia.edu/Documents/in/Climatology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="6607587"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/6607587/Experts_address_the_question_How_can_sustainable_land_management_contribute_to_mitigating_climate_change_"><img alt="Research paper thumbnail of Experts address the question: “How can sustainable land management contribute to mitigating climate change?”" class="work-thumbnail" src="https://attachments.academia-assets.com/33351242/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/6607587/Experts_address_the_question_How_can_sustainable_land_management_contribute_to_mitigating_climate_change_">Experts address the question: “How can sustainable land management contribute to mitigating climate change?”</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="378014a37124c5139b878f4ae1ac7d3b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":33351242,"asset_id":6607587,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/33351242/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="6607587"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="6607587"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6607587; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "378014a37124c5139b878f4ae1ac7d3b" } } $('.js-work-strip[data-work-id=6607587]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":6607587,"title":"Experts address the question: “How can sustainable land management contribute to mitigating climate change?”","translated_title":"","metadata":{"grobid_abstract":"The Natural Resources Forum is running a special series over the 2007-2009 period on themes to be considered by the United Nations Commission on Sustainable Development in its 16 th and 17 th sessions: Africa, agriculture, desertification, drought, land and rural development. The Viewpoints in this issue will focus on the impact of sustainable land management on climate change. Experts address the question: \"How can sustainable land management contribute to mitigating climate change?\" S ustainable Land Management (SLM) is perhaps one of the best measures available to mitigate climate change in the Himalayan ecosystem. Climate change in this region can result in flash floods, droughts, land degradation, rapid glacial retreat and trans-boundary disasters. The farming communities can play a big role in mitigation with support from politicians, policy makers and donors. There are opportunities to change the land use system and the farming practices in this region to sequester green house gases (mostly carbon dioxide), or reduce emissions (mostly nitrous oxides and methane) through use of minimal chemical fertilizers and improved livestock management. For example, the farmers can switch from shifting cultivation to an agro-forestry system, can change cropping patterns, and introduce hedgerows of grasses or tree species along the contours of sloping arable land. The extent of land degradation in the Himalayan region is also increasing because of the growing population pressure on limited land resources. It is feasible to change these degraded or barren areas into rangeland, social forestry, and other plantations that could benefit the local environment and the farming communities who are dependent on small land holdings. 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Such non-point pollution results from land-use and agricultural practices and leads to sedimentation downstream, a decrease in the transport capacity of streams, an increase in the risk of flooding, filling of reservoirs, and eutrophication. This paper uses a spatially-explicit model to identify the sediment sources and delivery paths to channels and link these sediment supply processes to inchannel sediment transport and storage. The paper analyzes hillslope erosion and deposition rates using the Unit Stream Power Erosion and Deposition model in a GIS to estimate patterns of sediment supply to rivers in order to predict which portions of the channel network are more likely to store large amounts of fine sediments and thus are most sensitive to the effects of on and offsite soil erosion. This study focuses on the Pitman Creek Basin, a predominantly agricultural subbasin in the Upper Green River in Kentucky. Results indicate that while much of the eroded sediments are redistributed within the hillslope system, a large proportion is also delivered to the channel. Sediment delivery to the stream is estimated using buffers defined in accordance with currently implemented conservation practices. These predictions have been tested by sampling the fine sediment content of the streambed at key locations along the channel network and comparing the observed patterns to those predicted by the soil erosion model. Overall, high intensity erosion tends to occur at contact between different vegetation covers, on barren lands and croplands, and 15-25% slopes poorly protected by vegetation, thus highlighting several erosion hot spots.","grobid_abstract_attachment_id":33351256},"translated_abstract":null,"internal_url":"https://www.academia.edu/6607584/Assessment_of_Spatial_Patterns_of_Sediment_Transport_and_Delivery_for_Soil_and_Water_Conservation_Programs","translated_internal_url":"","created_at":"2014-03-31T13:27:23.545-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":10677716,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":33351256,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351256/thumbnails/1.jpg","file_name":"JOSH_9_(1)_Pricope.pdf","download_url":"https://www.academia.edu/attachments/33351256/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Assessment_of_Spatial_Patterns_of_Sedime.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351256/JOSH_9_%281%29_Pricope-libre.pdf?1396297500=\u0026response-content-disposition=attachment%3B+filename%3DAssessment_of_Spatial_Patterns_of_Sedime.pdf\u0026Expires=1732719841\u0026Signature=aE0zgqY~MkrG~RkwT0w2SbMfkW4vbQIHorIM2aicNaBefFPzzXrt8nmIH5YPjtzU0NZD204OON7hz7Z36oz1fwbY-i0kYkC6RKwfYq~8vjszAStzWAuwswC4P0-JyPdE0U3WfmGQTNjkzej5I~UgJFznX1WS9PgPvUZIYxt35t6Ii~MdVdbgha7OrGQ5ItThkUZar-I80m23AYsTbI8wUJVz2VF5q4e4atdZEEjzI5m7Q7YQ86uTXGXpDriKsz4G8mwfJBt0-oNytjTCDWK8nEcuYY-ScDarpEmHKxkucPMPEqgax07F~n-fRXZdXyEVvu3VAKEY5gT2ZDclEasXvQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Assessment_of_Spatial_Patterns_of_Sediment_Transport_and_Delivery_for_Soil_and_Water_Conservation_Programs","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":10677716,"first_name":"Narcisa","middle_initials":null,"last_name":"Pricope","page_name":"NarcisaPricope","domain_name":"uncw","created_at":"2014-03-31T13:19:16.523-07:00","display_name":"Narcisa Pricope","url":"https://uncw.academia.edu/NarcisaPricope"},"attachments":[{"id":33351256,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351256/thumbnails/1.jpg","file_name":"JOSH_9_(1)_Pricope.pdf","download_url":"https://www.academia.edu/attachments/33351256/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Assessment_of_Spatial_Patterns_of_Sedime.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351256/JOSH_9_%281%29_Pricope-libre.pdf?1396297500=\u0026response-content-disposition=attachment%3B+filename%3DAssessment_of_Spatial_Patterns_of_Sedime.pdf\u0026Expires=1732719841\u0026Signature=aE0zgqY~MkrG~RkwT0w2SbMfkW4vbQIHorIM2aicNaBefFPzzXrt8nmIH5YPjtzU0NZD204OON7hz7Z36oz1fwbY-i0kYkC6RKwfYq~8vjszAStzWAuwswC4P0-JyPdE0U3WfmGQTNjkzej5I~UgJFznX1WS9PgPvUZIYxt35t6Ii~MdVdbgha7OrGQ5ItThkUZar-I80m23AYsTbI8wUJVz2VF5q4e4atdZEEjzI5m7Q7YQ86uTXGXpDriKsz4G8mwfJBt0-oNytjTCDWK8nEcuYY-ScDarpEmHKxkucPMPEqgax07F~n-fRXZdXyEVvu3VAKEY5gT2ZDclEasXvQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":1009312,"name":"Geographic Information Systems (GIS)","url":"https://www.academia.edu/Documents/in/Geographic_Information_Systems_GIS_"},{"id":1286118,"name":"GIS","url":"https://www.academia.edu/Documents/in/GIS"},{"id":1298256,"name":"Sediment Delivery","url":"https://www.academia.edu/Documents/in/Sediment_Delivery"}],"urls":[]}, dispatcherData: dispatcherData }); 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Such non-point pollution results from land-use and agricultural practices and leads to sedimentation downstream, a decrease in the transport capacity of streams, an increase in the risk of flooding, filling of reservoirs, and eutrophication. This paper uses a spatially-explicit model to identify the sediment sources and delivery paths to channels and link these sediment supply processes to inchannel sediment transport and storage. The paper analyzes hillslope erosion and deposition rates using the Unit Stream Power Erosion and Deposition model in a GIS to estimate patterns of sediment supply to rivers in order to predict which portions of the channel network are more likely to store large amounts of fine sediments and thus are most sensitive to the effects of on and offsite soil erosion. This study focuses on the Pitman Creek Basin, a predominantly agricultural subbasin in the Upper Green River in Kentucky. Results indicate that while much of the eroded sediments are redistributed within the hillslope system, a large proportion is also delivered to the channel. Sediment delivery to the stream is estimated using buffers defined in accordance with currently implemented conservation practices. These predictions have been tested by sampling the fine sediment content of the streambed at key locations along the channel network and comparing the observed patterns to those predicted by the soil erosion model. Overall, high intensity erosion tends to occur at contact between different vegetation covers, on barren lands and croplands, and 15-25% slopes poorly protected by vegetation, thus highlighting several erosion hot spots.","grobid_abstract_attachment_id":48785489},"translated_abstract":null,"internal_url":"https://www.academia.edu/6607505/Assessment_of_Spatial_Patterns_of_Sediment_Transport_and_Delivery_for_Soil_and_Water_Conservation_Programs","translated_internal_url":"","created_at":"2014-03-31T13:20:43.663-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":10677716,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":48785489,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/48785489/thumbnails/1.jpg","file_name":"Assessment_of_Spatial_Patterns_of_Sedime20160912-20700-1n4z32j.pdf","download_url":"https://www.academia.edu/attachments/48785489/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Assessment_of_Spatial_Patterns_of_Sedime.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/48785489/Assessment_of_Spatial_Patterns_of_Sedime20160912-20700-1n4z32j-libre.pdf?1473727510=\u0026response-content-disposition=attachment%3B+filename%3DAssessment_of_Spatial_Patterns_of_Sedime.pdf\u0026Expires=1732719842\u0026Signature=SmuMrN~o7J88XPhTbwLCgCpSI63hblqS9qXC-Kmx0hcvedYVkvS8mU4FYtn8o~30piOa1nmwLNzCJjMag06N8dVxc-TW40SfzdtqwXsU~dVDr-mEp-DraME-4ql~L90lygbccfBv0jGuxG0bCtQkVBRXmc08ASXHYz94A2mTC73iFIoAaX2dWxHVvKpqClq0gG14fVa0GREt4AUFm0bxTz4FVpnvYuchcwRkJw6lnDlIFU6u-~wOA-PXbLnQcaZuasNW0MD~Ovi76-Fml~qUOybJL5YUq2CpqYvgEjb-LKDkSKrpbQ9ilXbLU4x6MnPZaD9p0vHzUPcnu7X~Ac5ZBQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Assessment_of_Spatial_Patterns_of_Sediment_Transport_and_Delivery_for_Soil_and_Water_Conservation_Programs","translated_slug":"","page_count":26,"language":"en","content_type":"Work","owner":{"id":10677716,"first_name":"Narcisa","middle_initials":null,"last_name":"Pricope","page_name":"NarcisaPricope","domain_name":"uncw","created_at":"2014-03-31T13:19:16.523-07:00","display_name":"Narcisa Pricope","url":"https://uncw.academia.edu/NarcisaPricope"},"attachments":[{"id":48785489,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/48785489/thumbnails/1.jpg","file_name":"Assessment_of_Spatial_Patterns_of_Sedime20160912-20700-1n4z32j.pdf","download_url":"https://www.academia.edu/attachments/48785489/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Assessment_of_Spatial_Patterns_of_Sedime.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/48785489/Assessment_of_Spatial_Patterns_of_Sedime20160912-20700-1n4z32j-libre.pdf?1473727510=\u0026response-content-disposition=attachment%3B+filename%3DAssessment_of_Spatial_Patterns_of_Sedime.pdf\u0026Expires=1732719842\u0026Signature=SmuMrN~o7J88XPhTbwLCgCpSI63hblqS9qXC-Kmx0hcvedYVkvS8mU4FYtn8o~30piOa1nmwLNzCJjMag06N8dVxc-TW40SfzdtqwXsU~dVDr-mEp-DraME-4ql~L90lygbccfBv0jGuxG0bCtQkVBRXmc08ASXHYz94A2mTC73iFIoAaX2dWxHVvKpqClq0gG14fVa0GREt4AUFm0bxTz4FVpnvYuchcwRkJw6lnDlIFU6u-~wOA-PXbLnQcaZuasNW0MD~Ovi76-Fml~qUOybJL5YUq2CpqYvgEjb-LKDkSKrpbQ9ilXbLU4x6MnPZaD9p0vHzUPcnu7X~Ac5ZBQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":415918,"name":"Spatial hydrology","url":"https://www.academia.edu/Documents/in/Spatial_hydrology"},{"id":1009312,"name":"Geographic Information Systems (GIS)","url":"https://www.academia.edu/Documents/in/Geographic_Information_Systems_GIS_"},{"id":1286118,"name":"GIS","url":"https://www.academia.edu/Documents/in/GIS"},{"id":1298256,"name":"Sediment Delivery","url":"https://www.academia.edu/Documents/in/Sediment_Delivery"}],"urls":[{"id":2686409,"url":"http://www.spatialhydrology.com/journal/paperspring2009/sediment_transport.pdf"}]}, dispatcherData: dispatcherData }); 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Significant ecological changes and vegetation conversions are occurring along its floodplains. Various scenarios for agricultural and urban water use are currently being proposed by the government of Botswana. However, the understanding of the river's annual flow regime and timing of the relative contributions of water from three different sources is relatively poor. In light of past and future climate change and variability, this means that allocating water between ecological flows and economic and domestic uses will become increasingly challenging. We reconstruct the inundation history in this basin to help ease this challenge. This paper presents a spatiotemporal approach to estimate the contribution of water from various sources and the magnitude of changes in the flooding extent in the basin between 1985 and 2010. We used time series analysis of bimonthly NOAA AVHRR and NASA MODIS data and climatologic and hydrologic records to determine the flooding timing and extent.","grobid_abstract_attachment_id":33351261},"translated_abstract":null,"internal_url":"https://www.academia.edu/6607590/Variable_source_flood_pulsing_in_a_semi_arid_transboundary_watershed_the_Chobe_River_Botswana_and_Namibia","translated_internal_url":"","created_at":"2014-03-31T13:27:23.772-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":10677716,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":33351261,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351261/thumbnails/1.jpg","file_name":"Pricope_EnvMonitoring_A_2012.pdf","download_url":"https://www.academia.edu/attachments/33351261/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Variable_source_flood_pulsing_in_a_semi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351261/Pricope_EnvMonitoring_A_2012-libre.pdf?1396297533=\u0026response-content-disposition=attachment%3B+filename%3DVariable_source_flood_pulsing_in_a_semi.pdf\u0026Expires=1732719841\u0026Signature=Zsu~Qfb5-1CFEAOpaCWu73FYovWQlNl-yOEJDI15M1VevSinSCa-eST1zYTWxfoQ1wVdSWHqFTi50LrIGJ3xGtM84uJYyeKpdb1nWi~PrcmtUMRt7N8MwmQC0-0sIR2q-5RUTu3UtwPNMl2FHGJJIuF6Kq4N1re61S3sfwMrtTL9Xqm9SGP8pCHikt7yyj8l9Y~28ZzaFl~BC0PXMVexcbEtxsNS3uAP20rVFdII-w3G8FcNYrjhhOOEW5Z0jXm8M--y4qyUqk98AjMmZrbioa1CsEO1pJgiOzpL~f71fPBWutP35gkEC0HDTH-18t3gyagq8P~rHi6EhtoZcEuPaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Variable_source_flood_pulsing_in_a_semi_arid_transboundary_watershed_the_Chobe_River_Botswana_and_Namibia","translated_slug":"","page_count":24,"language":"en","content_type":"Work","owner":{"id":10677716,"first_name":"Narcisa","middle_initials":null,"last_name":"Pricope","page_name":"NarcisaPricope","domain_name":"uncw","created_at":"2014-03-31T13:19:16.523-07:00","display_name":"Narcisa Pricope","url":"https://uncw.academia.edu/NarcisaPricope"},"attachments":[{"id":33351261,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351261/thumbnails/1.jpg","file_name":"Pricope_EnvMonitoring_A_2012.pdf","download_url":"https://www.academia.edu/attachments/33351261/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Variable_source_flood_pulsing_in_a_semi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351261/Pricope_EnvMonitoring_A_2012-libre.pdf?1396297533=\u0026response-content-disposition=attachment%3B+filename%3DVariable_source_flood_pulsing_in_a_semi.pdf\u0026Expires=1732719841\u0026Signature=Zsu~Qfb5-1CFEAOpaCWu73FYovWQlNl-yOEJDI15M1VevSinSCa-eST1zYTWxfoQ1wVdSWHqFTi50LrIGJ3xGtM84uJYyeKpdb1nWi~PrcmtUMRt7N8MwmQC0-0sIR2q-5RUTu3UtwPNMl2FHGJJIuF6Kq4N1re61S3sfwMrtTL9Xqm9SGP8pCHikt7yyj8l9Y~28ZzaFl~BC0PXMVexcbEtxsNS3uAP20rVFdII-w3G8FcNYrjhhOOEW5Z0jXm8M--y4qyUqk98AjMmZrbioa1CsEO1pJgiOzpL~f71fPBWutP35gkEC0HDTH-18t3gyagq8P~rHi6EhtoZcEuPaA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":1252,"name":"Remote Sensing","url":"https://www.academia.edu/Documents/in/Remote_Sensing"},{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":2442,"name":"Atmospheric Science","url":"https://www.academia.edu/Documents/in/Atmospheric_Science"},{"id":3754,"name":"Climatology","url":"https://www.academia.edu/Documents/in/Climatology"},{"id":3755,"name":"Meteorology","url":"https://www.academia.edu/Documents/in/Meteorology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="6607588"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/6607588/A_spatio_temporal_analysis_of_fire_recurrence_and_extent_for_semi_arid_savanna_ecosystems_in_southern_Africa_using_moderate_resolution_satellite_imagery"><img alt="Research paper thumbnail of A spatio-temporal analysis of fire recurrence and extent for semi-arid savanna ecosystems in southern Africa using moderate-resolution satellite imagery" class="work-thumbnail" src="https://attachments.academia-assets.com/33351262/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/6607588/A_spatio_temporal_analysis_of_fire_recurrence_and_extent_for_semi_arid_savanna_ecosystems_in_southern_Africa_using_moderate_resolution_satellite_imagery">A spatio-temporal analysis of fire recurrence and extent for semi-arid savanna ecosystems in southern Africa using moderate-resolution satellite imagery</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0974122cec25585a82305a875fb678b9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":33351262,"asset_id":6607588,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/33351262/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="6607588"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="6607588"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 6607588; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0974122cec25585a82305a875fb678b9" } } $('.js-work-strip[data-work-id=6607588]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":6607588,"title":"A spatio-temporal analysis of fire recurrence and extent for semi-arid savanna ecosystems in southern Africa using moderate-resolution satellite imagery","translated_title":"","metadata":{"grobid_abstract":"Savanna ecosystems are semi-arid and fire-prone. Increasing temperatures and decreasing precipitation in Southern Africa will probably have a series of strong impacts on the various components of fire regimes in these ecosystems that will, in turn, affect their ecology, structure, and function. This paper presents a geospatial analysis to quantify changes in fire frequency, seasonality and spatial distribution during the last decade and creates a fire return interval map for the core area of the Kavango-Zambezi Transfrontier Conservation Area, which spans five Southern African countries and is the largest cooperative multistate conservation region in the world. To disentangle the relative contribution of environmental variability from country-specific land management decisions in driving changes in fire regimes, we use two different products from the MODIS Terra platform (Active Fire and Burned Area products), TRMM precipitation data and the Multivariate ENSO Index data to analyze change in fire regimes among the five countries, differentiating between different land uses such as protected areas, forest reserves, and communal lands and accounting for specific changes in fire management policies. There are significant differences in fire frequencies between countries with more effective fire management (Botswana and Zimbabwe) and countries where anthropogenic, mainly early-dry season, burning is largely uncontrolled (Namibia, Angola, and Zambia), both within and outside protected areas, while all countries and land-use units show an overall increasing trend in fire occurrences. Large fire occurrences increased up to 200% in the period before the beginning of the natural fire season in Namibia, where a new prescribed burn policy was introduced in 2006, while the other countries show a slightly different shift in seasonality of increasing fire occurrences mainly during the dry season. The mean size of fires also increases significantly across all land uses despite increasing fire prevention efforts in most protected areas in the five countries. These findings can contribute to more effective transboundary natural resource and wildlife habitat management by providing a baseline assessment of fire return intervals across five countries with different fire management policies and have implications in the climate change arena.","grobid_abstract_attachment_id":33351262},"translated_abstract":null,"internal_url":"https://www.academia.edu/6607588/A_spatio_temporal_analysis_of_fire_recurrence_and_extent_for_semi_arid_savanna_ecosystems_in_southern_Africa_using_moderate_resolution_satellite_imagery","translated_internal_url":"","created_at":"2014-03-31T13:27:23.678-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":10677716,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":33351262,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351262/thumbnails/1.jpg","file_name":"Pricope_Binford__JEMA_2012.pdf","download_url":"https://www.academia.edu/attachments/33351262/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_spatio_temporal_analysis_of_fire_recur.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351262/Pricope_Binford__JEMA_2012-libre.pdf?1396297556=\u0026response-content-disposition=attachment%3B+filename%3DA_spatio_temporal_analysis_of_fire_recur.pdf\u0026Expires=1732719841\u0026Signature=R3sZQp2yOLIFgYI6ZkvR6baoF~Di-qnwtdifWZLAQEW0C5CPDxxppkHMjWl43-itosY6fkXYdkRypKytrg-q5cK8T7E51guNF89jm2LXLRgKSZz7diJ-XNxhzIfHFPp4uGAZKxuDcS-d5cQjyQITn0X8N7xf5sB1Pecd36S43-8~xhKLF5TCFAFlWihNGtUyg4eIy1B1qSzUOL11WR-WuAM6-6AnrH~gOHKyfcBpdF73VkBSmjZ90PRychmnCUUTQc1w0VPSf1EKMOQVkIRXck3AT1FZjPhh7-to9liMRQ92uJNJAQpz7clgUxwv~G43h7LgcGIr6fUzV7wvvyoSBA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_spatio_temporal_analysis_of_fire_recurrence_and_extent_for_semi_arid_savanna_ecosystems_in_southern_Africa_using_moderate_resolution_satellite_imagery","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":10677716,"first_name":"Narcisa","middle_initials":null,"last_name":"Pricope","page_name":"NarcisaPricope","domain_name":"uncw","created_at":"2014-03-31T13:19:16.523-07:00","display_name":"Narcisa Pricope","url":"https://uncw.academia.edu/NarcisaPricope"},"attachments":[{"id":33351262,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351262/thumbnails/1.jpg","file_name":"Pricope_Binford__JEMA_2012.pdf","download_url":"https://www.academia.edu/attachments/33351262/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_spatio_temporal_analysis_of_fire_recur.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351262/Pricope_Binford__JEMA_2012-libre.pdf?1396297556=\u0026response-content-disposition=attachment%3B+filename%3DA_spatio_temporal_analysis_of_fire_recur.pdf\u0026Expires=1732719841\u0026Signature=R3sZQp2yOLIFgYI6ZkvR6baoF~Di-qnwtdifWZLAQEW0C5CPDxxppkHMjWl43-itosY6fkXYdkRypKytrg-q5cK8T7E51guNF89jm2LXLRgKSZz7diJ-XNxhzIfHFPp4uGAZKxuDcS-d5cQjyQITn0X8N7xf5sB1Pecd36S43-8~xhKLF5TCFAFlWihNGtUyg4eIy1B1qSzUOL11WR-WuAM6-6AnrH~gOHKyfcBpdF73VkBSmjZ90PRychmnCUUTQc1w0VPSf1EKMOQVkIRXck3AT1FZjPhh7-to9liMRQ92uJNJAQpz7clgUxwv~G43h7LgcGIr6fUzV7wvvyoSBA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":3754,"name":"Climatology","url":"https://www.academia.edu/Documents/in/Climatology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"}],"urls":[]}, dispatcherData: dispatcherData }); 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The Viewpoints in this issue will focus on the impact of sustainable land management on climate change. Experts address the question: \"How can sustainable land management contribute to mitigating climate change?\" S ustainable Land Management (SLM) is perhaps one of the best measures available to mitigate climate change in the Himalayan ecosystem. Climate change in this region can result in flash floods, droughts, land degradation, rapid glacial retreat and trans-boundary disasters. The farming communities can play a big role in mitigation with support from politicians, policy makers and donors. There are opportunities to change the land use system and the farming practices in this region to sequester green house gases (mostly carbon dioxide), or reduce emissions (mostly nitrous oxides and methane) through use of minimal chemical fertilizers and improved livestock management. For example, the farmers can switch from shifting cultivation to an agro-forestry system, can change cropping patterns, and introduce hedgerows of grasses or tree species along the contours of sloping arable land. The extent of land degradation in the Himalayan region is also increasing because of the growing population pressure on limited land resources. It is feasible to change these degraded or barren areas into rangeland, social forestry, and other plantations that could benefit the local environment and the farming communities who are dependent on small land holdings. These changes are possible if SLM technologies can generate immediate income to farmers, policy and legal supports are available, and donor communities are willing to invest in the long-term returns from these interventions.","grobid_abstract_attachment_id":33351242},"translated_abstract":null,"internal_url":"https://www.academia.edu/6607587/Experts_address_the_question_How_can_sustainable_land_management_contribute_to_mitigating_climate_change_","translated_internal_url":"","created_at":"2014-03-31T13:27:23.655-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":10677716,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":33351242,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351242/thumbnails/1.jpg","file_name":"Nat_Res_Forum_Vol_32_(3)_252-256_All_Pricope.pdf","download_url":"https://www.academia.edu/attachments/33351242/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Experts_address_the_question_How_can_sus.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351242/Nat_Res_Forum_Vol_32_%283%29_252-256_All_Pricope-libre.pdf?1396297456=\u0026response-content-disposition=attachment%3B+filename%3DExperts_address_the_question_How_can_sus.pdf\u0026Expires=1732719841\u0026Signature=ZIVW4r3kdrg4XYptWjGttWaOTR4Qsi3EjHgj0J7GiG9jMpG5Duqt66H6xhkbluCVaBUSLTg~LIHVZA2BZSY3tIY8dgcBmVh5v8F8F2P9BI~REi07cXSnB8SCtwr3M~lEqX0eemGlDi6swH1lhFSw4KW-nNKTaTld76au0lJiFVJzDIMkbsmNAITmSAmRESFz~gt-9gMNYoYo4ydJNX61eBjN19Q0xEIF85gzxJCKacki6d6u4MO09T0CMin9FDi3xpQbz~-QVN73~C3sJ3Zj70oahxDdtuxMdhHkTMc7SiO7-zwmigdWO8w2RqsSacFGaePPhDfF9JE87JBOLbkxWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Experts_address_the_question_How_can_sustainable_land_management_contribute_to_mitigating_climate_change_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":10677716,"first_name":"Narcisa","middle_initials":null,"last_name":"Pricope","page_name":"NarcisaPricope","domain_name":"uncw","created_at":"2014-03-31T13:19:16.523-07:00","display_name":"Narcisa Pricope","url":"https://uncw.academia.edu/NarcisaPricope"},"attachments":[{"id":33351242,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/33351242/thumbnails/1.jpg","file_name":"Nat_Res_Forum_Vol_32_(3)_252-256_All_Pricope.pdf","download_url":"https://www.academia.edu/attachments/33351242/download_file?st=MTczMjc0NTUxMSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Experts_address_the_question_How_can_sus.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/33351242/Nat_Res_Forum_Vol_32_%283%29_252-256_All_Pricope-libre.pdf?1396297456=\u0026response-content-disposition=attachment%3B+filename%3DExperts_address_the_question_How_can_sus.pdf\u0026Expires=1732719841\u0026Signature=ZIVW4r3kdrg4XYptWjGttWaOTR4Qsi3EjHgj0J7GiG9jMpG5Duqt66H6xhkbluCVaBUSLTg~LIHVZA2BZSY3tIY8dgcBmVh5v8F8F2P9BI~REi07cXSnB8SCtwr3M~lEqX0eemGlDi6swH1lhFSw4KW-nNKTaTld76au0lJiFVJzDIMkbsmNAITmSAmRESFz~gt-9gMNYoYo4ydJNX61eBjN19Q0xEIF85gzxJCKacki6d6u4MO09T0CMin9FDi3xpQbz~-QVN73~C3sJ3Zj70oahxDdtuxMdhHkTMc7SiO7-zwmigdWO8w2RqsSacFGaePPhDfF9JE87JBOLbkxWA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":421,"name":"Soil Science","url":"https://www.academia.edu/Documents/in/Soil_Science"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":1512,"name":"Climate Change","url":"https://www.academia.edu/Documents/in/Climate_Change"},{"id":3754,"name":"Climatology","url":"https://www.academia.edu/Documents/in/Climatology"},{"id":10225,"name":"Agriculture","url":"https://www.academia.edu/Documents/in/Agriculture"},{"id":18845,"name":"Environmental Sustainability","url":"https://www.academia.edu/Documents/in/Environmental_Sustainability"}],"urls":[]}, dispatcherData: dispatcherData }); 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Getis-Ord Gi* spatial clustering analyses reveal statistically significant locations of spatiotemporal precipitation decline coinciding with high population density and increase. Statistically significant areas are evident, particularly across central, southern, and eastern Africa. The highly populated Lake Victoria basin emerges as a particularly salient hot spot. People located in the regions highlighted in this analysis suffer exceptionally high exposure to negative climate change impacts (as populations increase on lands with decreasing rainfall). 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Such non-point pollution results from land-use and agricultural practices and leads to sedimentation downstream, a decrease in the transport capacity of streams, an increase in the risk of flooding, filling of reservoirs, and eutrophication. This paper uses a spatially-explicit model to identify the sediment sources and delivery paths to channels and link these sediment supply processes to inchannel sediment transport and storage. The paper analyzes hillslope erosion and deposition rates using the Unit Stream Power Erosion and Deposition model in a GIS to estimate patterns of sediment supply to rivers in order to predict which portions of the channel network are more likely to store large amounts of fine sediments and thus are most sensitive to the effects of on and offsite soil erosion. This study focuses on the Pitman Creek Basin, a predominantly agricultural subbasin in the Upper Green River in Kentucky. Results indicate that while much of the eroded sediments are redistributed within the hillslope system, a large proportion is also delivered to the channel. Sediment delivery to the stream is estimated using buffers defined in accordance with currently implemented conservation practices. These predictions have been tested by sampling the fine sediment content of the streambed at key locations along the channel network and comparing the observed patterns to those predicted by the soil erosion model. 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Such non-point pollution results from land-use and agricultural practices and leads to sedimentation downstream, a decrease in the transport capacity of streams, an increase in the risk of flooding, filling of reservoirs, and eutrophication. This paper uses a spatially-explicit model to identify the sediment sources and delivery paths to channels and link these sediment supply processes to inchannel sediment transport and storage. The paper analyzes hillslope erosion and deposition rates using the Unit Stream Power Erosion and Deposition model in a GIS to estimate patterns of sediment supply to rivers in order to predict which portions of the channel network are more likely to store large amounts of fine sediments and thus are most sensitive to the effects of on and offsite soil erosion. This study focuses on the Pitman Creek Basin, a predominantly agricultural subbasin in the Upper Green River in Kentucky. Results indicate that while much of the eroded sediments are redistributed within the hillslope system, a large proportion is also delivered to the channel. Sediment delivery to the stream is estimated using buffers defined in accordance with currently implemented conservation practices. These predictions have been tested by sampling the fine sediment content of the streambed at key locations along the channel network and comparing the observed patterns to those predicted by the soil erosion model. 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